Beyond monkey using: how to identify and model training needs of interactive critical systems operators using an ontology connected with task models EICS020

Operators of critical systems (e.g., air traffic controllers, pilots in commercial aircraft, operators managing space vehicle launch…) must acquire specific knowledge before being granted permission to perform their tasks on the job. They acquire such knowledge by following a training program developed for the specific tasks they will be doing. The preparation of their training program requires identifying the knowledge they have to acquire, and in particular, the two main types of knowledge that are declarative knowledge (a set of concepts required to operate a system) and procedural knowledge (a set of tasks required to operate a system). Task analysis techniques were originally proposed for the purpose of identifying and describing the knowledge required by users to interact with a system. These techniques provide support to describe procedural knowledge in detail, and a few of them provide limited support to describe declarative knowledge. In this paper, we propose a model-based technique to exhaustively identify and describe declarative and procedural knowledge, as well as to couple the different types of models in order to ensure the full coverage and consistency of the identification of knowledge required to operate an interactive system. We present the results from the application of the technique on a case study in the space domain.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2026-06-29
DOI
https://doi.org/10.1145/3816772
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond monkey using: how to identify and model training needs of interactive critical systems operators using an ontology connected with task models EICS020

Philippe Palanque, Erwann Poupart, Sandra Steere, Éric Barboni et al.
Proceedings of the ACM on Human-Computer Interaction
AI-based Problem Solving and Planning
article

Beyond monkey using: how to identify and model training needs of interactive critical systems operators using an ontology connected with task models EICS020

Philippe Palanque, Erwann Poupart, Sandra Steere, Éric Barboni, Célia Martinie, Théo Saubanère
article en

Abstract

Operators of critical systems (e.g., air traffic controllers, pilots in commercial aircraft, operators managing space vehicle launch…) must acquire specific knowledge before being granted permission to perform their tasks on the job. They acquire such knowledge by following a training program developed for the specific tasks they will be doing. The preparation of their training program requires identifying the knowledge they have to acquire, and in particular, the two main types of knowledge that are declarative knowledge (a set of concepts required to operate a system) and procedural knowledge (a set of tasks required to operate a system). Task analysis techniques were originally proposed for the purpose of identifying and describing the knowledge required by users to interact with a system. These techniques provide support to describe procedural knowledge in detail, and a few of them provide limited support to describe declarative knowledge. In this paper, we propose a model-based technique to exhaustively identify and describe declarative and procedural knowledge, as well as to couple the different types of models in order to ensure the full coverage and consistency of the identification of knowledge required to operate an interactive system. We present the results from the application of the technique on a case study in the space domain.

Proceedings of the ACM on Human-Computer InteractionVol. 10(4)
Université Toulouse III - Paul Sabatier (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Centre National d'Études Spatiales (FR), Université Toulouse-I-Capitole (FR), Institut de Recherche en Informatique de Toulouse (FR), Guiana Space Centre (GF), Université Toulouse - Jean Jaurès (FR), Institut Polytechnique de Bordeaux (FR)
Openalex Percentile: Top 6%
AI-based Problem Solving and Planning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.